Podcasts about aws iot core

In this episode, Corey Quinn sits down with AWS Senior Principal Engineer David Yanacek to explore the next evolution of DevOps.After two decades of building systems to reduce operational pain, David shares how AWS's new DevOps Agent is pushing automation to a whole new level, autonomously diagnosing incidents, suggesting fixes, and proactively improving systems before engineers even log in.From pager overload to autonomous remediation, this conversation is a glimpse into a world where software isn't the bottleneck anymore, operations are evolving into something entirely new.If you care about DevOps, SRE, platform engineering, or just want fewer 3 a.m. alerts, this episode is for you.Show highlights: (00:00) DevOps Meets Agents(00:13) Welcome and Sponsor Break(01:29) David Yanacek Backstory(02:34) DevOps Roots at Amazon(04:22) DevOps Agent GA Overview(05:32) LLMs MCP and Any Cloud(08:32) Guardrails and Safe Changes(11:47) Beta Results and Consistency(14:13) Troubleshooting Theory and On Demand(17:29) Future of DevOps and ClosingAbout David: David Yanacek is a Senior Principal Engineer at AWS and a lead advisor on the Agentic AI team. His current work focuses on Kiro, Amazon Bedrock AgentCore, and AWS's operational agents, where he helps shape the future of intelligent, autonomous systems.Over a 19+ year career at Amazon and AWS, David has been at the forefront of building services that simplify life for developers and operators. His experience spans serverless, DevOps, and CloudOps, including launching Amazon DynamoDB and AWS IoT Core, and contributing to the direction of cornerstone services like AWS Lambda, Amazon API Gateway, and Amazon CloudWatch.David also served as the lead publisher for the Amazon Builders' Library, helping customers apply Amazon's hard-earned architectural and operational lessons to their own systems.Outside of engineering, David plays the French horn in a local Seattle ensemble.Links:LinkedIn: https://www.linkedin.com/in/david-yanacek/Website: https://aws.amazon.com/builders-library/authors/david-yanacek/Sponsored by: duckbillhq.com

Jeff Collins, CEO of WanAware The last time the channel faced a shift this fundamental was the rise of the hypervisor. That transition reshaped everything, but it happened inside the four walls of the data center. What’s different about the current moment, argues WanAware CEO Jeff Collins, is that AI workloads, inference nodes, IoT, and SCADA infrastructure are being bolted onto customer environments without the kind of formal network redesign that virtualization demanded. The result is a growing visibility gap that most MSPs don’t realize they have. Collins points to a striking finding from a WanAware survey conducted in late 2025: when business leaders were asked about their visibility gap, they rated it extremely high. When IT was asked the same question, they rated it low. Both were technically right. IT was measuring visibility against the machines in their purview – Active Directory, database servers, web front ends. The business was measuring it against everything else: Kubernetes workloads, cloud functions, agentic AI processes, and infrastructure that might not exist tomorrow. That disconnect is why MSPs can show perfect MTTR and SLA performance while the customer is saying you’re failing. The conversation covers where traditional monitoring breaks down, why 30% false positive rates persist even after major platform investments, and how ephemeral workloads designed to disappear create alerts that will never resolve. Collins makes a compelling case that MSPs need to push visibility up the OSI stack, from layers one through three into the application and business logic layers where margin is significantly higher. He shares a practical framework for how to start, using vertical industry knowledge – particularly in sectors like Canadian oil and gas, where SCADA networks and AWS IoT Core infrastructure represent opportunities to grow a $1,000-a-month customer into a $30,000-a-month engagement. Read Full Transcript Robert Dutt: Hello and welcome to the ChannelBuzz.ca podcast, bringing news and information to the Canadian IT channel for the last 16 years. I’m Robert Dutt, editor of ChannelBuzz.ca and still your host for the show. Today we’re talking about a problem a lot of MSPs and channel partners are starting to feel, even if they don’t always have a name for it yet, and that’s visibility. As AI workloads, hybrid architectures and distributed endpoints become the norm, network traffic is changing faster than the tools that many partners rely on to understand what’s actually happening inside their customers’ environments. My guest today is Jeff Collins, CEO of WanAware. Jeff spends a lot of time with service providers and enterprise teams dealing with this shift, where accountability for performance, security and uptime is increasing, even as environments become harder to see and harder to diagnose when something goes wrong. WanAware operates in the network and infrastructure visibility space, but this conversation isn’t about the tools, the dashboards. It’s about how blind spots form in modern networks, why they’re easy to miss until there’s an outage, a security issue, or an SLA failure, and what partners need to understand as AI-driven infrastructure quietly reshapes traffic patterns and dependencies. In this discussion, we’re going to explore where traditional monitoring starts to fall apart, how partners can rethink what good visibility really means today, and why the ability to see what’s happening across distributed environments is quickly becoming both a risk issue and a business opportunity for MSPs. If you’re responsible for customer outcomes, but you don’t always feel confident you can see everything that matters, this conversation is for you. [MUSIC] Robert Dutt: Jeff, thanks for taking the time. I appreciate it. Jeff Collins: Thanks, Rob. Thanks for having me on. Robert Dutt: You’ve been advising partners, MSPs, VARs, these types of folks through a lot of change over time. Why does this moment with the rise of AI workloads and the continuing trend of hybrid networks feel like a real inflection point rather than sort of just the next evolution of the way things look? Jeff Collins: I think one of the biggest reasons why is because it’s so transformational to what MSPs and resellers and VARs and distributors have dealt with for, let’s say, the last 25 years. If we think about the last major inflection point that they dealt with was really kind of the realm of the hypervisor, this ecosystem where no longer did we have to have a server running an operating system, and that created kind of the whole ecosystem we deal with today. It created cloud, it created containers, all those things were built off this concept of a hypervisor. That was really the last major transformational thing that has happened. Now we fast forward to today and we’ve got this era of AI. We’ve got this era where we’re now taking agentic approaches, generative approaches, to things that our customers deal with every day. When I talk about our customers, those are the customers of the MSP, those are the customers of the reseller, the distributor. Not only are they dealing with that, they’re dealing with this massive evolution in the customer base, but they’re also having to do that same evolution in their own environments. If you’re an MSP and you’re focused on infrastructure, or you’re an MSP and you look more like an MSSP where you’re focused on security, now you’re starting to have to deal with, “Okay, I’ve got these tools, I’ve got these people, I’ve got these agents, I’ve got all these entities inside of my business that are doing something for my customer.” But now I have to think about how am I going to do that faster? How am I going to do that better? How am I going to do that more effectively? Because our customers are getting much more advanced. That’s really one of the biggest things that I see that we’re seeing a lot of, that “Where do I start?” from the channel partner community. When we think about the channel, we know all this stuff is going on, but it seems like such a Herculean lift that I think sometimes it’s hard to know where we make that first step. Robert Dutt: That makes sense. A lot of this, a lot of AI especially, and to a degree sort of the hybridization of the network, that complexity has come on without kind of a formal network redesign. Like you mentioned the transition to hypervisors and that necessitated rethinking how things were done because it was a physical change. Whereas a lot of, especially with AI, it’s kind of being bolted in, added on as you go. Why does that make the environment today harder to understand than maybe it was for past transitions when you’re sitting there watching it as an MSP or other partner? Jeff Collins: Well, I think one of the biggest reasons why this era is so much more difficult than the last transition is because we’re not bound by the four walls of our proverbial house. If we think about when we dealt with the last transition, every customer, their physical server sat inside of something they control. So we’ll refer to it as their house because that’s the easiest kind of comparison we can do. In today’s world, there’s certainly a lot that exists in our customers’ houses and in the houses that the MSP or the reseller or the channel partner or whomever it is are engaged in. But so much of that’s going outside of those walls. And when we think about AI, AI is certainly outside of those walls. I mean, we might be dealing with Anthropic, we might be dealing with ChatGPT or Gemini or the thousand other agentic or generative approaches that are out there. Those are all over the place. And now we’re asking these entities to take oftentimes a process-driven approach that they’ve had for 20, 25 years. And how do you change that process-driven approach when you don’t really know where those workloads, where those assets, where that data is going to reside either today or tomorrow, or even if that data that we’re looking at is even going to exist tomorrow. That’s this whole realm. I mean, we’ve been talking about ephemeral workloads for, you know, let’s call it 14 years, 15 years since really the rise of AWS. But now we’re starting to deal with these ephemeral workloads, not just in the realm of infrastructure, but also in data, in generative concepts, in agents. You know, historically, we had Bob Smith, who might have worked in the NOC. Well, tomorrow, Bob Smith is an agent. What does that look like? It’s AI. What did Bob Smith do yesterday? Did Bob Smith, the new agentic version of Bob Smith, did that person do the right thing, the wrong thing, the incorrect thing? How do we manage that? How do we deal with that? How do we process that? Those are all the things that are across the board, just happening at massive rapid scale. And so, you know, it’s a really difficult time right now to be an MSP or a channel partner, but it’s also an amazing time to be an MSP or channel partner. You know, our world, our capabilities are advancing so fast. You think about one of the simplest use cases that’s out there that all of us think is simple, that MSPs deal with every day, is a circuit outage. You know, a telecom circuit goes down and it’s connected to SD-WAN or it’s connected to a router or it’s connected to some type of device that’s out at the prem. And historically, every MSP on the planet’s dealt with it kind of in a similar way. We get an alert from a monitoring system that feeds a ticketing system. It pops up on a tier one agent’s dashboard. The tier one agent looks at it, they verify power, they verify if the router’s operational, and then they open a ticket with a carrier. And then they, and that’s the hurry up and wait type of world. Well, now in the era of AI, that changes that quite a bit, because every one of those things are very process driven. We don’t need people for that anymore. So now we can have a system take that process flow on, do that. Now, historically, we could use a system to do that. We could write automation and a lot of MSPs did that historically, but the problem with automation is automation is static. When we leverage AI, we can leverage enrichment that helps influence that agentic approach. And so now if there’s a nuance going on, let’s say an example is there’s a global power outage. So let’s say there’s a power outage in the entire Vancouver area. We know that. Well, historically, if we’re looking at that, we see all these customers that are down, we might through a tier one agent approach, a person-based approach that following a process, or even an automated approach, not really correlate that. Because if the MSP is in, let’s say, Montreal, they might not realize there’s a large scale power outage in Vancouver, which is thousands of kilometers away. And so when we think about that, that’s really where these things can change a lot from an agentic perspective. And then the MSP gets the joy of being able to repurpose that person to be much more valuable to their organization, that tier one person can become tier two, and that can really start changing that dynamic a lot. Robert Dutt: Most MSPs would have historically said we have good visibility across what our customers are doing. And probably I would say most believe they have good visibility today. Where does that confidence most often turn out to be misplaced or to start to break down as the model shifts? Jeff Collins: Yeah, so I would 100% agree that most MSPs, when workloads are static, have great visibility. The problem is that in today’s world, so many workloads are becoming dynamic. And we see that change happening consistently. You know, customers, you know, historically MSPs had problems monitoring services inside of a cloud provider. You have ephemeral workloads, you have workloads that aren’t necessarily a server, they’re much more like a service. So you have things that might be a Kubernetes instance, they might be a Kubernetes runtime instance, they might be a function. Those are all things that are crucial to the operation of a customer. They’ve taken those workloads that historically operated on a machine. And they’ve taken those workloads and now they’re in some type of small form factor instance that exists for a very short period of time. That’s been very difficult for MSPs to deal with across the board. But now we take that same concept and that same concept goes outside of the cloud providers. We now have that moving into inference nodes. We now have that moving into IoT and IIoT and OT, where we’re starting to deal with these ecosystems where these workloads are very ephemeral by nature. They might exist for a short period or components of those might exist for a short period, or the way that those are correlated and analyzed might exist. But if you think about inside of a customer from a business risk perspective, those actually carry the highest business risk. An individual Windows 2012 server has some level of business risk. If it’s running SAP, probably a higher level of business risk. But if it’s one Active Directory node and the customer has 100 machines in Active Directory, it doesn’t really matter in the scheme of the world. And so those are the realities of what happens as we kind of think through this stuff. And so for MSPs, this really drives that visibility gap. You know, we did a survey earlier this year, or actually late last year, sorry, in 2025. We did a survey across the board asking business leaders really what the visibility gap was and what they believed. And we asked business leaders and we also asked IT. It was really interesting to see kind of the dichotomy. When you ask the business what the visibility gap was, it was extremely high. When you ask technology what the visibility gap is, it was really low. Now they were both technically right. And here’s why. So IT was thinking about the visibility gap of the machines that they understand, the machines in their purview. So those might be, you know, an Active Directory server, a database server, maybe you have a web front end. Those are all there. And those are 100% being monitored to that IT team or to that MSP. The problem is, is the business itself is operating on a whole bunch of additional workloads that IT doesn’t necessarily have purview to. And so because of that, we start ending up with this difference of visibility. And that’s why oftentimes when you’ll go and you’ll talk to a customer or you’ll go and you’ll talk to the business itself. And the business is saying, why do we have this MSP who works for us? This MSP isn’t doing anything. And the MSP is coming back with these great reports that are showing MTTR is consistently dropping. You know, initial response time, triage time is consistently dropping. We’re blowing out every single metric that we provided you in an SLA or an SLO. And the business is coming back and saying, but you’re failing. And the MSP is saying, I don’t understand. We are not. And here’s all the metrics. And it’s because of this difference in resources that exist, that is what is happening. And so I think that’s one of the big areas that we always have to think through is, you know, as we’re looking at things and as MSPs look at things, they have to continue to be pushing upward inside of the business to understand all those areas that the business is driving that IT, who they’ve historically sold to, may not know about those resources, especially in a lot of these other spaces, AI, IoT, IIoT, OT, ephemeral workloads, cloud workloads, those types of things that are often outside of that scope. Robert Dutt: Yeah. I guess when you’re looking at sort of your visibility stopping basically at the edge of the organization, you’ve got all of this out there, pretty significant impacts on real world issues like latency, like security exposure, like the ability to meet those SLAs that you signed up for, those kinds of things. Jeff Collins: Yeah. Yeah. 100% agreed. And, you know, when you think about the core components that an MSP does, you know, MSPs generally deal with availability and they deal with performance. When you add in the MSSP, now we add in the security component. And some MSPs and MSSPs are more hybrid-based approaches. They may deal with all three. But as you kind of look at those, those core tenant areas have become much more difficult, especially in the last 10 years, certainly in the last year. I mean, the last year has been so disruptive for all that we do. And it’s because those pieces have become much less simple. You know, if I go back 25 years or even 20 years, customers by and large used MPLS networks, rather simple to monitor. You have guaranteed jitter, you have guaranteed latency, you have, you know, all these things that are very easily assumed by an MSP. So if latency exceeds 74 milliseconds between these two individual locations, that breaks the SLA that the provider provides and it’s an easy conversation. You need to go fix this. This is not okay. Well, in today’s world, most of our customers don’t have MPLS networks. Most of them have, you know, sometimes now it’s satellite. They might have Starlink for LEO. They might have 4G or 5G, depending on what portion of the world they’re in. They might have some type of broadband service, fiber broadband, or copper broadband, or some other type of realm. Well, those don’t necessarily have SLAs for that in any way, shape, or form. We may luck out and they have an availability SLA. Maybe it’s three nines or two nines, or maybe not even two nines, depending on what type of service that is. And then when we start moving inside of the network, outside of the service provider, outside of the circuit provider itself, we start moving into other arenas that look like this. You know, historically we had a Dell server, an HP server that had a mean time before failure. Well, that’s pretty easy to understand. If I have a server and it’s going to run for 25,000 hours, it’s easy to understand that life. But when now we’re starting to get services that have an expected failure, and that expected failure is generally measured in less than a year, because the assumption is that the software, the application, resolves that issue. If you’re an MSP and you’re not monitoring the application and you don’t understand the application, you’re now chasing outages that don’t matter. And that’s one of the other things that’s really hard. And we see this all the time. You know, I’ll talk to MSPs and they’re like, “Jeff,” and it goes back to that same conversation we had before of not knowing the business. “Jeff, we get, today we have 30% of our tickets that become false positives. What do we do about that? We’ve gone out and we’ve bought the newest monitoring platform. We’ve implemented AI. We’ve implemented all this automation. We spent $20 million doing that.” These are all real things that I have in conversations with MSPs. And at the end of the day, they still have 30% false positives that they’re working. And the reality is, is because it’s certainly an outage. There was 100% an outage that happened. But the reality is that outage was never going to get restored because the outage was designed. You know, that workload disappeared. A DevOps team or a DevSecOps team deployed a new environment and that workload is now gone. And there’s a brand new workload that you’re not monitoring right now. You know nothing about it. And those are the things that we all collectively have to continually evolve to. It’s that driving up the stack. You know, one of the things that I often see is, you know, we have this proverbial thing that we’ve all dealt with, the OSI model. You know, there’s seven layers to that OSI model. So often in MSPs, we focus on four of them. The problem is, and most MSPs only focus on the first three. They don’t even focus on the fourth one. The issue is, is there’s three more. And those three more are what get driven by the business. And so the more that we can focus on visibility within those three, understanding that, bringing that into our tools, that drives additional value. It also drives significantly larger margin. You know, if we think about margin contribution at monitoring a telecom circuit, that’s a pretty low margin at this point in time. There’s a lot of automation around that. Monitoring a server – that world used to be high-margin, but it’s compressing. Customers are increasingly doing more of this themselves. They’re doing automation directly into their CI/CD pipeline. So it becomes this knife fight. And there’s more and more MSPs that are out there that are also fighting for that same share of market. And so the key is, the more that MSPs can go up market, they can understand, you know, I hate to use this term digital transformation because it literally gets overused every day by every marketing team on the planet. But the reality is, is that if we go behind this marketing abomination of this term, and we actually look at what happens, there’s a ton of value that we can go after. And if we go after that value, and we go after what people are trying to do, we align with that, we can now take those same products, those same processes that we’ve historically had as MSPs, and we can really start evolving that. Moving upward, driving in significant value, taking our tool sets that we may have today, maybe those can evolve with us, maybe we have to make new changes in our tool sets. But the reality is we’re driving that margin upward. So we’re going from maybe our contribution margin to our business today is 30%, let’s say, we can start moving back up into 60, 70, 80% contribution margin from a managed services perspective, which is where we all want to be. We don’t want to be fighting knife fights for 30%. It’s just hard, it’s difficult. Our customer acquisition costs are still generally high. We have salespeople, we have marketing efforts, we have all those things that we’re burning through every day. And we need more and more market share, we need more and more assets that we’re monitoring. And as a result of that, we need better ways that can contribute higher margin and create stickier customers that we’re not in those knife fights with. Robert Dutt: The situation seems to be putting MSPs in a situation where they’re increasingly accountable for outcomes that they can’t fully see the contributing factors of. Before you move on, I just wanted to double click on that just a little bit and just ask, how does that change kind of the risk profile for an MSP when you’re accountable for those things that you don’t completely understand or have complete control over? Jeff Collins: Yeah, I would say a lot of that. And one of the things that MSPs have to think through is a lot of that starts at the sales cycle. If you don’t ask the right questions at the sales cycle stage, oftentimes you get pushed into that ecosystem. When you’re looking at the core functional plumbing behind what a customer is trying to do, and that’s the only thing you’re looking at, you often get siloed into that ecosystem. You’re looking at a server, you’re not looking at SAP. One server going down in SAP doesn’t necessarily mean SAP has a problem. But if that one server is the only HANA server in SAP, that’s catastrophic. You know, it’s this realm of contextual knowledge. Historically MSPs have that contextual knowledge, but it’s all the way at tier three and tier four. That contextual knowledge has to move to tier one. If MSPs want to get to the arena where that is no longer a problem, the contextual pieces have to move downward. You have to go from a hero-based MSP to a process-driven MSP. So many MSPs are built on heroes. It’s really hard to build a scalable business off heroes. You have to have heroes. Heroes are the people that when everything breaks and the world is on fire, they’re the ones who carry you through. And those heroes we want to have, we want to empower them, but they can’t be doing the stuff that should be done at tier one. So if we take that exact same question that you had, Rob, that question is, you know, how do we make, at the end of the day, how do we make MSPs more relevant to their clients and much more aligned with what the client’s trying to do? And that’s by taking the contextual knowledge of what the customer is trying to do, aligning that with the tactical approaches that the MSP is trying to do, and having a very crystal clear playbook of how this tactical component makes up this strategic initiative inside of the business. So we’ll take that, we’ll take that simple example. I shouldn’t say simple. SAP is far from simple. But the reality is, is that SAP is something that customers rely on. And when they rely on that, if SAP goes down the business goes down. And if you have an MSP that’s monitoring that, and at the same second of the same day, the MSP gets 36 tickets. We’ll just pick a random 36 number. 36 severity one tickets come in at that point in time. One of those severity one tickets is for SAP HANA. And the customer only has one instance of that. And that is taking down a large company. So that’s the first ticket. The next 35 tickets are for ephemeral workloads that the customer migrated off of, you got the alert, they migrated to a brand new ephemeral workload. And the 35 don’t matter. They’re false positives. But the one fully matters. In every single MSP on the planet, those 36 tickets are eligible for the same response interval. That’s a pretty tough average to be able to. Are you going to luck out and get the one? Or are you going to luck out, or not luck out, for lack of a better term, and work 35 false positives before you get to the one that matters? Now, most MSPs are going to tell me and they’re going to tell us that, well, we have more than one tier one path. That’s great. But the reality is you need to be responding to that one ticket right now. And you need to understand that that one ticket matters. And the only way you can do that is by starting at the beginning, starting with the sales cycle, understanding what customers are doing. If you’ve already gone down the path and the customer’s embedded, use your customer support teams. Understand what your customers are doing, start layering in that context, start enriching that data, knowing what that actually feeds, and understanding the dependencies and interdependencies inside of that. So if that server goes down, certainly you could by virtue say a database server going down is a SEV-1, but it may not be. If they have four database servers, they’re running in a high availability group, who cares? If one goes down, not the end of the world, go fix it tomorrow. That’s where context, that’s where understanding those dependencies is so crucial. And I mentioned at the beginning of this is how do you take that first step forward? We always take this first step forward and how I instruct MSPs is start doing things like this, take this step forward, break this down into simple programmatic approaches. And when we think about AI, it’s the exact same idea. We move steps forward, we have agentic, we have generative. Pick one, pick an area you want to focus on with your customers, understand the business outcome they’re trying to do. And if you have an inference engine, that’s going to be really crucially important here. So let’s understand that. Let’s monitor that. Let’s understand the intricacies related to how that customer is leveraging it, why it’s important. Are there latency constraints? Are there packet loss constraints? Those types of things. Let’s monitor to that and let’s understand how that happens. And if a customer has an application on the back end, you know, maybe they have New Relic or they have AppDynamics or they have some type of APM toolset, great. Let’s start bringing those into our monitoring. Let’s start bringing that intelligence in, understanding application flows, understanding dependencies, building that to be part of our story. And now we create so much more opportunity for us as an MSP driving that contribution margin northbound. Robert Dutt: So it sounds like we’re kind of defining good visibility in a modern environment and kind of setting up for looking forward as understanding what actually matters to the customer and understanding what kind of flows into it, what all results in that thing that’s important to the customer still being up, still being running, still being functional, and kind of work backwards from there as opposed to the more “this machine is working, this machine is not” kind of approach. Jeff Collins: Yep. Yeah. You want to go from tactical to transformational. That’s really the idea. Robert Dutt: And you shared kind of the idea of the first step to do towards that. I guess as you’re moving towards that first step, you know, is there any one question or kind of mindset that you find works for MSPs to have in mind or asking customers to surface those blind spots and really start to understand what that context is that they have to have? Jeff Collins: Yeah, that’s a really good question, Rob. And, you know, there’s some things that I do tell MSPs to start with before you ever ask that first question. One of them is kind of some of the simple, let’s call it research that you can do before you ever reach out to your customer. One of the easiest things you can do is start by what industry are they in. You know, in Canada, Canada has a lot of oil and gas, lots and lots of oil and gas companies exist in Canada. And so if you have an oil and gas company, we can start right off the bat with a lot of the things that oil and gas companies live and die with. And we’ll just pick on this one as an example. So oil and gas companies have SCADA networks. They have industrial IoT devices that are out there. They’re processing massive amounts of data. That data may be going into the cloud. It may be going into a data center. It may be going into some type of vault or something like that, depending on what they have. But each one of those are things that, as an MSP, you can start out before you ever ask your customer anything. You know that those are the things that exist in their environment. And you can quickly look and see, well, am I monitoring any of those? Well, no, I’m only monitoring Active Directory. Okay, Active Directory is probably important to the oil and gas company. But if it goes down, do they quit producing oil? The answer is probably no. And so if your answer is ever no, you know right off the bat that you’re not monitoring something that’s strategic to your customer. And so the first thing that you should always think about is, okay, if we have this industry, we should be monitoring the things that are strategic. Well, how do we do that? Well, we start with that one step forward. The first thing we talk to them about is just like when we went out and we sold that initial monitoring of Active Directory, they did it because they didn’t have time for it. There’s no oil and gas company on the planet that has time to be monitoring their SCADA networks. They just don’t. They may tell you that they do, but they don’t. So leverage your relationships, leverage your engagement with them and go after those pieces. Understand, you know, if they’re in AWS IoT Core, understand what that looks like. Understand who’s monitoring that. Understand how DevOps is working within that space. Maybe it’s DevSecOps inside of that environment. Understand that convergence of the teams and then start building a story around, you know, let’s take that on for you. Let’s start changing that. Let’s use the same paradigm that we’ve done, driving MTTR down, driving availability up, driving resolution times down, all those types of things. Let’s bring that into the era of SCADA networks, IoT, our core infrastructure. That’s where we start changing the value inside of our customer engagements. And that’s really where I see a huge opportunity for MSPs across Canada, where you can take that environment, you can take those opportunities you already have, and you can grow them from, you know, maybe you bill that customer $1,000 a month. You can grow it to billing them $20,000 or $30,000 a month, but it’s the most crucial $30,000 they spend. Because, you know, if that offshore environment or that, you know, oil sands environment or whatever it might be within the oil and gas space or in the energy sector, whatever it might be, those things are crucial to their business. And so the more that MSPs can kind of make that step forward, and then also start incorporating AI, every single one of those entities is incorporating AI. They’re incorporating it directly into their pipelines. They’re incorporating it directly into their data pipelines, not just the oil and gas pipelines, but each one of those, the more you can incorporate that, the more you can monitor, the more you can show value of everything that you do amazing as an MSP, that’s really where you start creating that intrinsic strategic value and you get out of that tactical approach. Robert Dutt: And the good news is for a lot of these folks in the MSP space, presumably they have some of these pieces already in place, just not necessarily connected up to the technical side, i.e. sales and marketing have been focused on a vertical. And even if they haven’t, because they have customers in this space, they’ve built some of that muscle memory, some of that knowledge of what really matters. Now it’s just a matter, hopefully, of connecting it into the services that they’re offering. Jeff Collins: Yep, totally agreed. Robert Dutt: All right. Well, it’s been a really interesting look at sort of where visibility is at. And I think a real interesting opportunity that you’ve surfaced in terms of how it can be turned into a value conversation. I appreciate your taking the time. Jeff Collins: Sounds great. Thanks so much for having me on, Rob. Robert Dutt: There you have it, my chat with Jeff Collins from WanAware. I’d like to thank Jeff for sharing his insights. The thing that stuck with me from this conversation is how much of what’s changed in the modern network hasn’t been designed in, it’s been bolted on. AI workloads, hybrid architectures, IoT, SCADA, all of it layered into environments without the kind of formal rethinking that happened when we moved to virtualization. And Jeff made a really compelling case that for MSPs, closing that visibility gap isn’t just a risk management play, it’s a revenue opportunity, and potentially a significant one, especially in verticals like energy and critical infrastructure where visibility is tied directly to uptime, safety, and compliance. We’ll be back on Monday with In Case You Missed It, your weekly news roundup. Thanks for listening. I’m Robert Dutt for ChannelBuzz.ca, and I’ll see you in the channel.

In this episode of 10,000 Feet, host Richelle Lentz is joined by Rick Krause from Vervint and Daniel Gross from AWS to explore the evolving landscape of connected products and IoT platforms. Together, they unpack the journey from early, DIY-style IoT implementations to today's scalable, secure, and cloud-native solutions powered by AWS. The conversation dives deep into the triggers that signal it's time to migrate—like cost inefficiencies, security vulnerabilities, and limited access to data—and outlines practical strategies for replatforming, including phased rollouts, OTA updates, chaos testing, and blue/green deployments.Listeners will also hear about modernization as a stepping stone for organizations not yet ready for full migration, with tips on optimizing device messaging, leveraging edge processing, and enhancing user experience. Real-world anecdotes, like hacked crosswalks and connected coffee makers, bring the discussion to life while emphasizing the importance of security, interoperability, and customer value. Whether you're managing a growing IoT fleet or just beginning to rethink your platform strategy, this episode offers actionable insights to help future-proof your connected product ecosystem.

En este episodio, Juan Pablo Arias y Jose Soto hablan sobre MQTT, uno de los protocolos más populares del Internet de las cosas (IoT), con una explicación de su origen y las características más recientes de MQTT v5. También comentan de cómo AWS IoT Core funciona como broker de MQTT en la nube.

In season 3 episode 5 of The IoT Podcast, we explore the evolution of edge computing with the Founder of ClearBlade Eric Simone, from successful edge deployments in IoT to the emerging role of AI and ML. Sit back, relax, tune in, and be the first to discover... (00:00) The IoT Podcast intro (00:34) Eric's journey to founding ClearBlade (07:30) What drove you to start ClearBlade? (09:49) Why it's difficult to leave a business once you've started it (15:04) What was the moment when you realised you needed to pivot the business? (20:10) Why you have to go against the grain in order for it to work (21:28) Picking apart this quote: '90% of platforms are gone, and the remaining 95% will be gone within 3 years. this includes Azure IoT Hub and AWS IoT Core. Yet IoT will thrive' (25:41) What are the common barriers that keep popping up in IoT? (29:33) How will the adoption of edge computing play out? (35:28) How is edge computing enabling real-time data processing? (39.33) How AI at the edge is going to be a game changer (46:25) Making life simpler with technology (49:20) Prediction for IoT in 2023 (50:47) Question from the audience (52:17) Quick-fire questions Thank you to today's episode sponsor Akenza.io, sign up for a 30-day free trial of their self-service platform: https://auth.akenza.io/register?utm_medium=referral&utm_source=5vmedia&utm_campaign=theiotpodcast ABOUT THE GUEST Eric Simone is the Founder and CEO of ClearBlade, Inc. an Intelligent Assets software company. CleaBlade put the power of IoT, Edge computing, and AI into the hands of businesspeople enabling them to deliver immediate ROI. ClearBlade has the only proven, repeatable, IoT Enterprise Core for Edge and cloud on the market today and have created the only software that is identical in both. ClearBlade is proven at scale across multiple verticals including Oil & Gas, Industrial Equipment, Transportation, Aerospace, and Agriculture. Connect with Eric: https://www.linkedin.com/in/ericsimone/ Find out more about ClearBlade, Inc.: https://www.clearblade.com/ SUBSCRIBE TO THE IOT PODCAST: https://linktr.ee/theiotpodcast Sign Up for exclusive email updates: https://theiotpodcast.com/ Contact us to become a guest/partner: https://theiotpodcast.com/contact/ Connect with host Tom White: https://www.linkedin.com/in/tom5values/

En este episodio Matias “Lechu” Siri y Raul Hugo conversan acerca de el protocolo de comunicaciones MQTT y como interactua con AWS IoT Core, entre las novedades, la retencion de mensajes MQTT y los VPC Enpoints para AWS IoT Core. Material Adicional: https://aws.amazon.com/es/about-aws/whats-new/2021/08/aws-iot-core-supports-mqtt-retained-messages

The month of June was not the most exciting one when it comes to announcements, but Arjen, Guy, and Jean-Manuel still found some things to talk about. Although there were more diversions than usual. News Finally in Sydney AQUA for Amazon Redshift launches in three additional AWS regions Amazon EMR Studio is now available in 13 regions Serverless Amazon API Gateway now supports synchronous invocations of Express Workflows using REST APIs AWS Amplify announces support for IAM permissions boundaries on Amplify-generated IAM roles Announcing Workflow Studio, a new low-code visual workflow designer for AWS Step Functions Simplify building of serverless applications with AWS-supported container images for continuous integration systems AWS SAM launches machine learning inference templates for AWS Lambda AWS Lambda now supports SASL/PLAIN authentication for functions triggered from self-managed Apache Kafka Containers Amazon EKS pods running on AWS Fargate now support custom security groups AWS App Mesh introduces enhanced ingress traffic management capabilities Announcing AWS App Mesh Controller for Kubernetes Version 1.4.0 with Ingress Enhancements Customize and Package Dependencies With Your Apache Spark Applications on Amazon EMR on Amazon EKS | AWS News Blog EC2 & VPC AWS Removes NAT Gateway's Dependence on Internet Gateway for Private Communications Amazon EC2 adds new AMI property to flag outdated AMIs Amazon EC2 now allows you to create crash-consistent AMIs from instances with multiple EBS volumes without rebooting instances AWS Backup now supports crash-consistent backups of Amazon EBS volumes attached to an Amazon EC2 instance Announcing per second billing for EC2 Windows Server and SQL Server Instances AWS announces a new shell for F1 instances with increased FPGA resources and data transfer speeds Amazon EC2 Inf1 instances - New features, improved performance and lower prices Dev & Ops AWS Systems Manager Session Manager plugin for the AWS CLI is now open source AWS announces the general availability of AWS Proton Introducing a Public Registry for AWS CloudFormation | AWS News Blog AWS Control Tower announces accessibility, console and performance improvements Configure GitHub Actions workflows with a new GitHub Action for building serverless applications Amazon CodeGuru Reviewer Updates: New Java Detectors and CI/CD Integration with GitHub Actions | AWS News Blog AWS Systems Manager now supports free text search for a node in the Session Manager console Security Amazon Cognito now supports SMS Sandbox from Amazon SNS AWS Security Hub adds 16 new controls to its Foundational Security Best Practices standard for enhanced cloud security posture monitoring AWS Resource Access Manager enables granular access control with additional managed permissions AWS Certificate Manager Private Certificate Authority now supports more flexibility for CAs shared across accounts KMS Multi-Region Keys AWS WAF adds 15 new text transformations IAM Access Analyzer adds new policy checks to help validate conditions during IAM policy authoring Data Storage & Processing Amazon QLDB supports IAM-based access policy for PartiQL queries and ledger tables Announcing Global Clusters for Amazon DocumentDB (with MongoDB compatibility) Identify and Copy existing objects to use S3 Bucket Keys, reducing the costs of Server-Side Encryption with AWS Key Management Service (SSE-KMS) AWS Glue Studio now allows you to specify streaming ETL job settings Announcing R5d instances and lookup cache for Amazon Neptune Amazon Neptune simplifies in-console experience to help customers get started faster AWS Glue Studio now includes a code editor for customizing your job scripts File Access Auditing Is Now Available for Amazon FSx for Windows File Server | AWS News Blog Amazon Athena engine version 2 is generally available in all AWS commercial and GovCloud regions Amazon Aurora Serverless v1 supports fast database cloning Amazon DocumentDB (with MongoDB compatibility) Now Supports r5.8xlarge and r5.16xlarge Instances Amazon EMR now supports up to thirty instance type configurations in Instance Fleets Amazon DynamoDB Accelerator (DAX) now supports encryption in transit of data between your applications and DAX clusters, and between the nodes within a DAX cluster AI & ML Amazon SageMaker model registry now supports rollback of deployed models Amazon SageMaker Pipelines now supports callback capability Amazon Translate is Now Integrated with Amazon CloudWatch Events and Amazon EventBridge Amazon Lex announces support for multi-valued slots Connect to your Amazon CloudWatch data to detect anomalies and diagnose their root causes using Amazon Lookout for Metrics Amazon Translate now supports XML Localization Interchange File Format - XLIFF documents Amazon SageMaker Now Supports ml.G4dn instances for Batch Transform and Processing Jobs Other Cool Stuff Amazon CloudWatch adds Control Plane API Usage Metrics across AWS Services Amazon Location Service Is Now Generally Available with New Routing and Satellite Imagery Capabilities | AWS News Blog New LoRaWAN gateway management features generally available for AWS IoT Core for LoRaWAN Announcing support for custom partitioning in AWS IoT Analytics Data Stores AWS China (Beijing) Region Adds the Third Availability Zone AWS Client VPN launches desktop client for Linux Amazon Connect launches API to configure quick connects programmatically In the Works – AWS Region in Tel Aviv, Israel | AWS News Blog New – AWS BugBust: It's Game Over for Bugs | AWS News Blog The Nanos The month of June... Sponsors Gold Sponsor Innablr Silver Sponsors AC3 CMD Solutions DoIT International

On The Cloud Pod this week, the results of the AWS Summit prediction draft are in. It was probably worth getting up early for — especially if you're Jonathan. A big thanks to this week's sponsors: Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. JumpCloud, which offers a complete platform for identity, access, and device management — no matter where your users and devices are located.  This week's highlights

Découvrez une solution de bout en bout, entièrement managée et serverless, pour prendre des mesures de température, les envoyer dans le cloud dans une base de donnée de type Time Serie et construire un tableau de bord de visualisation. Spoiler alert : nous parlons de AWS IoT Core, de capteurs, de télémétrie, de Graphana, dans cet épisode geek de l'été. Si ce sujet vous intéresse, cet article du blog AWS donne plus de détails.

Découvrez une solution de bout en bout, entièrement managée et serverless, pour prendre des mesures de température, les envoyer dans le cloud dans une base de donnée de type Time Serie et construire un tableau de bord de visualisation. Spoiler alert : nous parlons de AWS IoT Core, de capteurs, de télémétrie, de Graphana, dans cet épisode geek de l'été.

最新情報を "ながら" でキャッチアップ！ ラジオ感覚放送 「毎日AWS」 おはようございます、月曜日担当パーソナリティの篠﨑です。 今日は 6/4 に出たアップデートをピックアップしてご紹介。 感想は Twitter にて「#サバワ」をつけて投稿してください！■ トークスクリプト https://blog.serverworks.co.jp/aws-update-2021-06-04 ■ UPDATE PICKUP AWS Lambda Extensions が東京・大阪リージョンでも一般提供開始 AWS Transit Gateway のSLAが 99.99%に Amazon Rekognition カスタムラベルはコンソールからモデルのデプロイをサポート S3バケットキーの機能追加とKMSによる暗号化のコストを削減 AWS IoT Core for LoRaWANでLoRaWANゲートウェイ管理機能が追加 AWS CLI 用の SSM Session Manager プラグインがオープンソースに Amazon GameLiftがUnreal4.26のSDKサポートと更新を追加 他AWSサービスのSLAについて ■ サーバーワークスSNS Twitter / Facebook ■ サーバーワークスブログ サーバーワークスエンジニアブログ

最新情報を "ながら" でキャッチアップ！ ラジオ感覚放送 「毎日AWS」 おはようございます、火曜日担当パーソナリティの加藤です。 今日は 2/27 に出たアップデートをピックアップしてご紹介。 感想は Twitter にて「#サバワ」をつけて投稿してください！ ■ アンケートのご協力お願いします！ https://forms.gle/tapCvDfCbjXHjSMf8 ■ UPDATE PICKUP AWS Config がコンテナ系サービスに対応 AWS Launch Wizard で SAP をデプロイする際 IP アドレスを指定できるように AWS IoT Core for LoRaWAN で新しい周波数帯をサポート ■ サーバーワークスSNS Twitter / Facebook ■ サーバーワークスブログ サーバーワークスエンジニアブログ

Get ready! AltiumLive 2020 is just around the corner, and Dave Pellerin has joined the roster. Dave is Head of Worldwide Business Development for Infotech/Semiconductor at Amazon Web Services (AWS), and a former Director of Marketing for FPGA Design Products at Altium. Dave has also authored five Prentice Hall books on topics from FPGA programming (Field Programmable Gate Arrays) to design automation. Dave joins us on the OnTrack podcast to bring his uniquely qualified perspective to bear on topics like cloud security and secure collaboration in a disaggregated market, and FPGA (Field Programmable Gate Arrays) and their applications in the cloud, as well as to give us the details on the upcoming AWS (Amazon Web Services) re:Invent conference. Work from Anywhere. Connect with Anyone. Watch the video, click here. Show Highlights: Meet Dave Pellerin and  AWS (Amazon Web Services) Cloud security and supply chains: recent trends toward secure collaboration environments How Amazon’s acquisition of Annapurna Labs spurred its interest in secure collaboration  FPGAs (Field Programmable Gate Arrays) and their broad applications in the Cloud ”We take care of all that heavy lifting”: AWS IoT Core and advice to users of IoT (Internet of Things) devices A quick look at Dave’s upcoming contribution to AltiumLive 2020 Why Amazon is seeking to connect with Altium users Coming Soon... Amazon’s annual AWS re:Invent conference and other exciting upcoming AWS events Links and Resources: AltiumLive 2020 FREE Registration Here Dave Pellerin on LinkedIn Amazon AWS Website Amazon Reinvent Conference AWS Semiconductor/Electronics Webpage Work from Anywhere. Connect with Anyone.

最新情報を "ながら" でキャッチアップ！ ラジオ感覚放送 「毎日AWS！」 おはようございます、サーバーワークスの加藤です。 今日は 8/27 に出たアップデート8件をご紹介。 感想は Twitter にて「#サバワ」をつけて投稿してください！ ■ UPDATE ラインナップ AWS X-Ray がタグを用いたリソースへのアクセス制御をサポート Amazon RDS for SQL Server が高速インサートの無効化に対応 AWS IoT Core がカスタム認証オプションを拡張 Amazon Route 53 Resolver が VPC DNS クエリのロギングをサポート Amazon AppFlow が API や SDK に対応 AWS Directory Service に Linux ベースの Amazon EC2 がシームレスに参加可能に AWS Elemental MediaConvert が WebM DASH 出力が利用可能に AWS Site-toSite VPN がインターネットキー交換の開始をサポート ■ サーバーワークスSNS Twitter / Facebook ■ サーバーワークスブログ サーバーワークスエンジニアブログ

July was a busy month with many (small) releases, and even an announcement about re:Invent! So it's up to Arjen, Jean-Manuel, and Guy to try to make sense of it all. The News Finally in Sydney AWS IoT Analytics is now available in the Sydney AWS Region AWS Snowball Edge Compute Optimized is now available in 11 additional AWS Regions AWS Secrets Manager has been IRAP assessed and accepted for PROTECTED level Serverless Amazon RDS Proxy – Now Generally Available | AWS News Blog Announcing AWS Serverless Application Model (SAM) CLI now generally available for production use Amplify CLI adds support for Lambda layers to easily share code  assets across Lambda functions Amazon Athena adds support for Partition Projection Containers AWS App2Container – A New Containerizing Tool for Java and .NET Applications | AWS News Blog Amazon ECS announces AWS Copilot, a new CLI to deploy and operate containers in AWS Docker and AWS collaborate to help deploy applications to Amazon ECS on AWS Fargate Amazon EKS now supports Kubernetes version 1.17 AWS App Mesh launches ingress support with virtual gateways Introducing Ingress support in AWS App Mesh | Containers (detailed blogpost) Amazon EFS CSI Driver is now generally available Amazon ECS announces increased service quotas Fluent bit container logs to Elastcsearch ECR now supports encryption of images using AWS KMS keys EC2 & VPC Kernel Live Patching for Amazon Linux 2 is now generally available Introducing EC2 Launch v2 to simplify customizing Windows instances AWS Transit Gateway now supports more granular CloudWatch Metrics for improved network monitoring EC2 Image Builder can now produce and distribute encrypted AMIs EC2 Image Builder can now stream logs to CloudWatch Announcing Amazon CloudWatch metrics for Amazon EC2 On-Demand Capacity Reservations AWS Global Accelerator launches One-Click Acceleration for Application Load Balancers Amazon VPC Resources Now Support Tag on Create New – Amazon EC2 Instances based on AWS Graviton2 with local NVMe-based SSD storage | AWS News Blog Amazon Lightsail now offers cPanel  WHM instance blueprint AWS Cloud Map simplifies Amazon EC2 instance registration Dev & Ops Find Your Most Expensive Lines of Code – Amazon CodeGuru Is Now Generally Available | AWS News Blog Announcing the Porting Assistant for .NET | AWS News Blog AWS CodeDeploy now enables automated installation and scheduled updates of the CodeDeploy Agent Announcing CDK Pipelines Preview, continuous delivery for AWS CDK applications CDK Pipelines: Continuous delivery for AWS CDK applications | AWS Developer Blog (detailed blogpost) CDK for Terraform: Enabling Python & TypeScript Support AWS CodeBuild now supports accessing Build Environments with AWS Session Manager AWS CodeBuild supports code coverage reporting AWS CodeBuild now supports parallel and coordinated executions of a build project Amazon S3 features now available in the AWS Toolkits for Visual Studio Code Security Amazon Fraud Detector is now Generally Available | AWS News Blog Easily manage your content policies for AI services with AWS Organizations AWS Firewall Manager launches managed rules to audit VPC security groups AWS WAF Security Automations now supports WAFv2 API AWS Config Launches 28 Additional Managed rules   AWS Secrets Manager now enables you to attach resource-based policies to secrets from the AWS Secrets Manager console and uses Zelkova to validate these policies Identify, arrange, and manage secrets easily using enhanced search in AWS Secrets Manager Amazon CloudFront announces new TLS1.2 security policy for viewer connections Amazon Detective enhances VPC flow visibility Now gain longer access to your AWS resources when switching roles in the AWS Management Console Amazon MQ Adds Support for LDAP Authentication And Authorization AWS Security Hub launches new automated security controls AWS Firewall Manager now supports centralized logging of AWS WAF logs Storage & Databases Amazon Elastic File System increases file system minimum throughput Amazon DocumentDB (with MongoDB compatibility) now supports T3 medium instances AWS Storage Gateway simplifies cache management for File Gateway AWS Storage Gateway increases local cache storage by 4x for File Gateway Amazon RDS Application Programming Interface supports AWS PrivateLink Amazon Keyspaces now enables you to back up your table data continuously by using point-in-time-recovery (PITR) Create Snapshots From Any Block Storage Using EBS Direct APIs | AWS News Blog Amazon DocumentDB (with MongoDB compatibility) adds support for cross-region snapshot copy Announcing automatic backups for Amazon Elastic File System New Amazon Elastic File System console simplifies file system creation and management Amazon EBS Fast Snapshot Restore for Shared EBS Snapshots | AWS News Blog Amazon Elastic File System increases per-client throughput by 100% Amazon Elasticsearch Service now supports Learning to Rank to improve search relevancy ranking AWS DataSync adds support for on-premises object storage | AWS News Blog HTTP compression support now available in Amazon Elasticsearch Service Amazon RDS for SQL Server lowers the cost for High Availability DB Instances AWS Database Migration Service now supports enhanced premigration assessments Amazon Kinesis Data Firehose now supports data delivery to New Relic, Datadog, HTTP endpoints, and MongoDB Cloud AI & ML AWS DeepRacer Evo and Sensor Kit now available for purchase Amazon Comprehend Medical adds relationship extraction to medical condition Amazon Personalize adds improved handling of missing metadata Amazon EMR now supports encrypting log files using Customer-managed CMKs in AWS Key Management Service (KMS) Amazon Forecast now supports generating predictions for 10X more items Amazon EMR now supports Managed Scaling – automatically resizing clusters to lower cost New – Label Videos with Amazon SageMaker Ground Truth | AWS News Blog Announcing AWS PrivateLink Support for Amazon Kendra AWS RoboMaker releases rosbag upload cloud extension for Robot Operating System (ROS)  Amazon Comprehend launches real time Custom Entity Recognition Amazon Forecast now supports resource tagging Amazon EMR now supports Amazon EC2 G4 Instances which provides up to 4.5X faster and 5.4X cheaper XGBoost Training Amazon SageMaker Ground Truth and Amazon Augmented AI add support for OpenID Connect (OIDC) authentication of private workers Amazon Translate now supports Office documents | AWS News Blog Other cool stuff New – Create Amazon RDS DB Instances on AWS Outposts | AWS News Blog Announcing the New AWS Community Builders Program! | AWS News Blog AWS IoT SiteWise – Now Generally Available | AWS News Blog Amazon Interactive Video Service – Add Live Video to Your Apps and Websites | AWS News Blog Contact Lens for Amazon Connect is now generally available Recording of the Connect/Contact Lens talk by Rian Brooks-Kane at the User Group (starts around 50 minutes) AWS IoT Core now supports multiple shadows for a single IoT device Amazon Connect allows you to continue engaging with your customer after an agent hangs-up Amazon Chime SDK supports audio and video calling from mobile browsers AWS Marketplace now offers integrated third-party software solutions for AWS Control Tower Updates to the AWS Well-Architected Framework and the AWS Well-Architected Tool Amazon Connect adds call recording APIs Introducing AWS Purchase Order Management (Preview)   Sponsors Gold Sponsor Innablr Silver Sponsors AC3 CMD Solutions DoIT International

As more consumer products are embedded with sensors that allow communication and data transfer between the product and the manufacturer, customers need architecture to onboard, protect, and monitor device fleets. In this session, we cover best practices for creating this architecture and use the decisions that were made when creating the AWS smart product solution as a guide. The architecture incorporates AWS IoT Core, as well as AWS Lambda for backend microservices, AWS IoT Analytics with Amazon QuickSight to analyze telemetry data, and AWS IoT Device Defender to audit device configurations. We also show you how to use AWS CDK to create customized deployments.

Remote monitoring of assets and equipment enables businesses to repurpose labor away from manual monitoring, increase equipment life span, and derive value from existing investments into assets. In harsh physical environments, remote monitoring can enable equipment to operate offline while reducing high-risk, manual operations. In this session, you learn how to train machine-learning models in the cloud and use AWS IoT Core to deploy these models onto connected surveillance cameras to drive ROI for your business.

Connected-home-device manufacturers always seek to provide innovative, more personalized offerings to their customers that weren't possible prior to IoT. This includes making products smarter over time with machine learning and adding functionality such as voice-enabled AI assistants, mobile apps, and automated reordering of items such as coffee beans or laundry detergent. Adding these capabilities starts with collecting and making sense of massive amounts of device data. In this session, learn how you can use AWS IoT Core with other AWS services to leverage data collected from connected-home products to deliver innovative, customer-centric experiences to your end consumers.

This presentation was recorded prior to re:Invent. In this session, learn how AWS teams used AWS IoT Core to provide more advantage to their architectures. These teams got operational by connecting multiple devices, managing their device fleet, learning lessons along the way, and deploying their workloads to production. Gain insights from tried and tested architectures that you can use to supplement your own workloads. We also discuss other AWS IoT offerings, such as AWS IoT Greengrass and Amazon FreeRTOS.

AWS IoT connectivity & control services allow you to securely connect, control, and manage your devices from the cloud. In this session, you'll learn what's new across AWS IoT connectivity & control services including AWS IoT Core, AWS IoT Device Management, and AWS IoT Device Defender. You'll walk away understanding how you can use AWS IoT services to securely connect, control, and manage your devices at scale.

AWS IoT Core helps you easily monitor equipment across your industrial facilities to identify waste, such as breakdown of equipment and processes, production inefficiencies, and defects in products; identify equipment inefficiencies; and take action if issues are detected. In this session, we walk you through how to unlock OT data. We also discuss common industrial performance pitfalls and ways to better analyze industrial equipment data and detect complex events, resulting in increased overall equipment effectiveness (OEE).

For over a decade, cloud-enabled digital transformation has remade industries and powered innovation to greatly benefit enterprises and consumers. In this session, learn how AWS customers in industries as diverse of Manufacturing, Healthcare, and Oil & Gas are incorporating robots into their next-generation solutions. Come learn how AWS services such AWS RoboMaker, AWS IoT Core, Amazon SageMaker, Amazon Kinesis, and Amazon Rekognition are being used to fundamentally transform work and improve outcomes.

With the massive growth of connected devices across many verticals, including connected home and manufacturing, multi-tenant services are often used that cater to the needs of use cases such as asset tracking, predictive maintenance, and fleet management. As companies grow, they often find that they spend a disproportionate amount of time managing the increasing volume of device connections and message traffic rather than improving products. In this session, we discuss new capabilities of AWS IoT Core that allow you to easily offload the challenges of scaling connectivity and messaging infrastructure to AWS IoT Core without making substantial changes to your application architecture and with minimal impact to your customers' devices.

Sercomm is dedicated to helping customers innovate in the connected home and building sectors and to go from nothing to product launch within a mere six months. In this session, Andy Lin, director of platform business development at Sercomm, shares how the company built a secure and scalable solution to help service providers and system integrators quickly provision IoT devices and create new revenue streams from VSaaS businesses. You also learn about why Sercomm's solution based on Amazon Kinesis Video Streams and AWS IoT Core can save video recording and data storage costs for operators with more than 3.1 million subscribers. This presentation is brought to you by Sercomm, an APN Partner.

We share Mozilla's concerns over Contract for the Web, and try out Kali Linux's new tricks. Also, our thoughts on the new Alexa Voice service coming to low-end IoT devices, and much more.

We share Mozilla's concerns over Contract for the Web, and try out Kali Linux's new tricks. Also, our thoughts on the new Alexa Voice service coming to low-end IoT devices, and much more.

We share Mozilla's concerns over Contract for the Web, and try out Kali Linux's new tricks. Also, our thoughts on the new Alexa Voice service coming to low-end IoT devices, and much more.

Simon & Nicki are joined by a live audience to record a great set of cool updates for customers! Chapters: 1:20 Infrastructure 1:33 Developer Tools 3:50 Storage 4:28 Compute 6:13 Database 10:22 Analytics 13:01 IoT 13:23 End User Computing 14:08 Machine Learning 17:03 Networking 18:22 Customer Engagement 18:37 Application Integration 19:12 Game Tech 19:47 Media Services 20:44 Management and Governance 23:20 Robotics 24:26 Migration 25:03 Security 25:38 Training & Certification 26:05 Audience Q&A Shownotes: Topic || Infrastructure Announcing the AWS Asia Pacific (Hong Kong) Region | https://aws.amazon.com/about-aws/whats-new/2019/04/announcing-the-aws-asia-pacific-hong-kong-region/ Topic || Developer Tools AWS Amplify Console Now Supports Deploying Fullstack Serverless Applications with a Single Click | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-amplify-console-now-supports-deploying-fullstack-serverless-/ Amplify Framework Simplifies Configuring OAuth 2.0 Flows, Hosted UI, and AR/VR Scenes for Mobile and Web Apps | https://aws.amazon.com/about-aws/whats-new/2019/04/amplify-framework-simplifies-configuring-oauth-2-0-flows--hosted/ Amplify Framework Announces New Amazon Aurora Serverless, GraphQL, and OAuth Capabilities | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-amplify-announces-new-amazon-aurora-serverless--graphql--and/ AWS Amplify Console adds support for Custom Headers | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-amplify-console-adds-support-for-custom-headers/ AWS Amplify Console Now Available in Five Additional Regions | https://aws.amazon.com/about-aws/whats-new/2019/04/amplify-console-now-available-in-five-additional-regions/ AWS Device Farm Remote Access for Manual Testing on real Android and iOS devices now supports Android OS 8+ and iOS 11+ devices | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-device-farm-remote-access-for-manual-testing-on-real-android/ Topic || Storage New AWS Public Datasets Available from National Renewable Energy Laboratory, Nanyang Technological University, Stanford, Software Heritage and others | https://aws.amazon.com/about-aws/whats-new/2019/04/new-aws-public-datasets-available-from-national-renewable-energy/ Topic || Compute Amazon EC2 T3a Instances Are Now Generally Available | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-ec2-t3a-instances-are-now-generally-available/ Amazon EKS Now Delivers Kubernetes Control Plane Logs to Amazon CloudWatch | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-eks-now-delivers-kubernetes-control-plane-logs-to-amazon-/ Amazon EKS Supports EC2 A1 Instances as a Public Preview | https://aws.amazon.com/about-aws/whats-new/2019/04/-amazon-eks-supports-ec2-a1-instances-as-a-public-preview-/ AWS Elastic Beanstalk extends Tag-Based Permissions | https://aws.amazon.com/about-aws/whats-new/2019/04/aws_elastic_beanstalk_extends_tag-based_permissions/ AWS ParallelCluster 2.3.1 with enhanced support for Slurm Workload Manager is available now | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-parallelcluster-slurm-enhancements/ Topic || Databases Amazon RDS now supports per-second billing | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-rds-per-second-billing/ Amazon RDS for Oracle Now Supports Database Storage Size up to 64TiB | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-rds-for-oracle-now-supports-64tib/ Amazon RDS Enhanced Monitoring Adds New Storage and Host Metrics | https://aws.amazon.com/about-aws/whats-new/2019/04/enhanced-monitoring-supports-additional-metrics/ Amazon RDS for PostgreSQL Now Supports Multi Major Version Upgrades to PostgreSQL 11 | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-rds-postgresql-supports-multi-major-version-upgrades/ Amazon RDS for PostgreSQL Now Supports Data Import from Amazon S3 | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-rds-postgresql-supports-data-import-from-amazon-s3/ Amazon Aurora and Amazon RDS Enable Faster Migration from MySQL 5.7 Databases | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon_aurora_and_amazon_rds_enable_faster_migration_from_mysql_57_databases/ Amazon Aurora Serverless Supports Sharing and Cross-Region Copying of Snapshots | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon_aurora_serverless_now_supports_sharing_and_cross-region_copying_of_snapshots/ AWS simplifies replatforming of Microsoft SQL Server databases from Windows to Linux | https://aws.amazon.com/about-aws/whats-new/2019/04/windows-to-linux-replatforming-assistant-sql-server-databases/ Amazon Redshift now provides more control over snapshots | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-redshift-now-provides-more-control-over-snapshots/ AWS specifies the IP address ranges for Amazon DynamoDB endpoints | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-specifies-the-ip-address-ranges-for-amazon-dynamodb-endpoints/ Now you can tag Amazon DynamoDB tables when you create them | https://aws.amazon.com/about-aws/whats-new/2019/04/now-you-can-tag-amazon-dynamodb-tables-when-you-create-them/ DynamoDBMapper now supports Amazon DynamoDB transactional API calls | https://aws.amazon.com/about-aws/whats-new/2019/04/dynamodbmapper-now-supports-amazon-dynamodb-transactional-api-calls/ Topic || Analytics Amazon Elasticsearch Service announces support for Elasticsearch 6.5 | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-elasticsearch-service-announces-support-for-elasticsearch-6-5/ Amazon Elasticsearch Service adds event monitoring and alerting support | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-elasticsearch-service-adds-event-monitoring-and-alerting-support/ Amazon Elasticsearch Service now offers improved performance at lower costs with C5, M5, and R5 instances | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-elasticsearch-service-now-offers-improved-performance-at-lower-costs-with-C5-M5-R5-instances/ AWS Glue now supports additional configuration options for memory-intensive jobs | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-glue-now-supports-additional-configuration-options-for-memory-intensive-jobs/ Announcing EMR release 5.22.0: Support for new versions of HBase, Oozie, Flink, and optimized EBS configuration for improved IO performance for applications such as Spark | https://aws.amazon.com/about-aws/whats-new/2019/04/announcing-emr-release-5220-support-for-new-versions-of-hbase-oozie-flink-and-optimized-ebs-configuration-for-improved-io-performance-for-applications-such-as-spark/ Amazon Kinesis Data Streams changes license for its consumer library to Apache License 2.0 | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon_kinesis_data_streams_changes_license_for_its_consumer_library_to_apache_license_2_0/ Amazon MSK expands its open preview into AP (Singapore) and AP (Sydney) AWS Regions | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon_msk_expands_its_open_preview_into_ap_singapore_and_ap_sydney_aws_regions/ Amazon QuickSight now supports localization, percentile calculations and more | https://aws.amazon.com/about-aws/whats-new/2019/04/Amazon_QuickSight_now_supports_localization_percentile_calculations_and_more/ Topic || IoT Amazon FreeRTOS Now Supports Resource Tagging | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-freertos-now-supports-resource-tagging/ AWS IoT Analytics Now Supports Single Step Setup of IoT Analytics Resources from AWS IoT Core | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-iot-analytics-now-supports-single-step-setup-of-iot-analytic/ Topic || End User Computing AWS Client VPN is Now Available in Four Additional AWS Regions | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-client-vpn-is-now-available-in-four-additional-aws-regions/ Amazon WorkDocs Migration Service | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon_workdocs_migration_service/ Amazon WorkDocs Document Approvals | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-workdocs-document-approval/ Topic || Machine Learning Amazon SageMaker Now Offers Reduced Prices in the Asia Pacific (Tokyo) and Asia Pacific (Seoul) AWS Regions | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-sagemaker-now-offers-reduced-prices-in-the-asia-pacific--/ Amazon SageMaker Now Supports Greater Control of Root Access to Notebook Instances | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-sagemaker-now-supports-greater-control-of-root-access-to-/ Amazon SageMaker Ground Truth announces new features to simplify workflows, new data labeling vendors, and expansion in the Asia Pacific region | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-sagemaker-ground-truth-announces-new-features-to-simplify/ Amazon Transcribe now supports real-time speech-to-text in British English, French, and Canadian French | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-transcribe-now-supports-real-time-speech-to-text-in-british-english-french-and-canadian-french/ Amazon Polly Adds Arabic Language Support | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-polly-adds-arabic-language-support/ Amazon Comprehend Now Supports Confusion Matrices for Custom Classification | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-comprehend-now-supports-confusion-matrices-for-custom-classification/ AWS DeepLens Introduces New Bird Classification Project Template | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-deeplens-bird-classification/ Topic || Networking Amazon CloudFront enhances the security for adding alternate domain names to a distribution | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-cloudfront-enhances-the-security-for-adding-alternate-domain-names-to-a-distribution/ Amazon CloudFront is now Available in Mainland China | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-cloudfront-is-now-available-in-mainland-china/ Expanding AWS PrivateLink support for Amazon Kinesis Data Firehose | https://aws.amazon.com/about-aws/whats-new/2019/04/expanding_aws_privatelink_support_for_amazon_kinesis_data_firehose/ AWS Global Accelerator is Now Available in Six Additional Regions | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-global-accelerator-is-now-available-in-six-additional-regions/ Topic || Customer Engagement Amazon Pinpoint Now Offers an Analytics Dashboard for Transactional SMS Messages | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-pinpoint-now-offers-an-analytics-dashboard-for-transactional-sms-messages/ Topic || Application Integration AWS AppSync Now Supports Tagging GraphQL APIs | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-appsync-now-supports-tagging-graphql-apis/ Amazon MQ now supports ActiveMQ Minor Version 5.15.9 | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-mq-now-supports-activemq-minor-version-5-15-9/ Topic || Game Tech Amazon GameLift Realtime Servers Now Available | https://aws.amazon.com/about-aws/whats-new/2019/04/amazon-gameLift-realtime-servers-now-available/ Topic || Media Services AWS Elemental MediaPackage and MediaTailor improve support for DASH Endpoints and Monetization | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-elemental-mediapackage-and-mediatailor-improve-support-for-dash-endpoints-and-monetization/ AWS Elemental MediaLive Offers Lower Cost Live Channels with Single-Pipeline Option | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-elemental-medialive-offers-lower-cost-live-channels-with-single-pipeline-option/ Speed Up Video Processing With New Accelerated Transcoding in AWS Elemental MediaConvert | https://aws.amazon.com/about-aws/whats-new/2019/04/speed-up-video-processing-with-new-accelerated-transcoding-in-aws-elemental-mediaconvert/ AWS Elemental MediaStore Now Supports Chunked Object Transfer to Enable Ultra-Low Latency Video Workflows | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-elemental-mediastore-now-supports-chunked-object-transfer-to-enabling-ultra-low-latency-video-workflows/ Topic || Management and Governance AWS CloudFormation Coverage Updates for Amazon EC2, Amazon ECS and Amazon Elastic Load Balancer | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-cloudformation-coverage-updates-for-amazon-ec2--amazon-ecs-a/ AWS Systems Manager Session Manager Enables Session Encryption Using Customer Keys | https://aws.amazon.com/about-aws/whats-new/2019/04/AWS-Systems-Manager-Session-Manager-Enables-Session-Encryption-Using-Customer-Keys/ AWS Systems Manager Now Supports Use of Parameter Store at Higher API Throughput | https://aws.amazon.com/about-aws/whats-new/2019/04/aws_systems_manager_now_supports_use_of_parameter_store_at_higher_api_throughput/ AWS Systems Manager Parameter Store Introduces Advanced Parameters | https://aws.amazon.com/about-aws/whats-new/2019/04/aws_systems_manager_parameter_store_introduces_advanced_parameters/ Query AWS Regions Endpoints and More | https://aws.amazon.com/blogs/aws/new-query-for-aws-regions-endpoints-and-more-using-aws-systems-manager-parameter-store/ AWS Service Catalog Announces Tag Updating | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-service-catalog-announces-tag-updating/ Topic || Robotics Announcing AWS RoboMaker Cloud Extensions for Robot Operating System (ROS) Melodic | https://aws.amazon.com/about-aws/whats-new/2019/04/announcing-aws-robomaker-cloud-extensions-for-robot-operating-sy/ NICE DCV Now Supports MacOS Native Clients | https://aws.amazon.com/about-aws/whats-new/2019/04/nice-dcv-now-supports-macos-native-clients/ Topic || Migration Announcing Azure to AWS migration support in AWS Server Migration Service | https://aws.amazon.com/about-aws/whats-new/2019/04/announcing_azure_awsmigration_servermigrationservice/ Topic || Security AWS Certificate Manager Private Certificate Authority is now available in five additional regions | https://aws.amazon.com/about-aws/whats-new/2019/04/AWS-Certificate-Manager-Private-Certificate-Authority-is-now-available-in-five-additional-regions/ AWS Single Sign-On now offers certificate customization to support your corporate policies | https://aws.amazon.com/about-aws/whats-new/2019/04/you-can-now-customize-the-aws-single-sign-on-certificate-to-meet-your-corporate-security-requirements/ Topic || Training and Certification AWS Certification Triples its Testing Locations, Making it Even More Convenient to Get Certified | https://aws.amazon.com/about-aws/whats-new/2019/04/aws-certification-triples-testing-locations/ Announcing the New AWS Certified Alexa Skill Builder - Specialty Exam | https://aws.amazon.com/about-aws/whats-new/2019/04/new-awsexam-certified-alexa-skill-builder-specialty/

Discover how AWS IoT services, Amazon Alexa, and AWS services help businesses leverage the AWS Cloud to make millions of homes safer, more efficient, and healthier for their occupants. The initial pilots on low-income customer base saw over 6-20% reduction in electricity bills using the minimal customer configuration of just Alexa and very basic smart device control. Discover how companies are using Amazon Experts to deploy Alexa and AWS IoT into millions of smart homes across wide geographies. Learn how AWS IoT Core, digital twin, AWS Lambda, and data analytics are used to execute real-time coordination logic, implement scheduled actions, and execute event-based bidirectional control architected to manage millions customers simultaneously. Learn how coupling this in-home IoT capability with cloud-based big data/ML algorithms enables new customer-centric outcomes, including appliance performance detection, improving the value of solar assets, security monitoring, and better ways to schedule daily energy-intensive tasks, such EV charging and hot water heaters.

In this session, learn how to use AWS IoT services to build devices that can be used in regulated industries, like healthcare and pharma manufacturing. Come hear from AWS solution architects about how you can use the AWS IoT Core to enable your devices, services like AWS Greengrass to build devices that have local compute, messaging, data caching, sync, and machine learning inference capabilities and AWS IoT Analytics to run sophisticated analytics on massive volumes of IoT data without having to worry about all the cost and complexity typically required to build your own IoT analytics platform. You will also hear about how you can set up the fine-grained access control, auditability, and automated guardrails necessary for the creation and maintenance of regulated workloads following Good Laboratory, Clinical, and Manufacturing Practices (GxP) and other industry standards and ISOs.

Helping you manage the security of your IoT fleet is a top priority for AWS. You can use AWS IoT Device Defender to audit device fleets for best practices and drift in security settings, detect abnormal device behavior, and receive alerts to investigate issues. In this session, we will show you how you can use AWS IoT Device Defender to implement and maintain secure policies and controls to keep data and devices secure. Come away understanding how to spot insecure device configurations and how to set up metrics that can be used to spot a DDoS and botnet attacks. We will also look at how AWS IoT Device Defender works with AWS IoT Core and AWS IoT Device Management to respond to security alerts.

aibo" is an autonomous pet robot series by Sony, coming soon to the US. "aibo" cloud built on AWS uses various services, especially serverless one such as AWS Lambda, Amazon API Gateway, and AWS IoT Core. In this session, we introduce how we use AWS services on aibo, and we share some of our serverless practices. Complete Title: AWS re:Invent 2018: [REPEAT 1] How We Made "aibo" Smart: A Journey through Serverless & IoT on AWS (DEM107-R1

The AWS suite of managed services for IoT enables companies to quickly and easily deploy devices to the edge and synchronize their industrial time-series data from multiple sites to the AWS Cloud, where advanced analytics and machine learning can generate valuable insights about their business. In this session, learn how EDF Renewables used AWS Greengrass, AWS IoT Core, AWS IoT Analytics, and AWS Lambda to facilitate the collection, aggregation, and quality assurance of operational data from solar installations. Hear how working with AWS Professional Services transformed its approach to product development, and learn what challenges and solutions came with choosing leading-edge services form AWS.

AWS re:INVENT 2017 - IoT Links AWS IoT Core AWS Greengrass AWS IoT Device Management AWS IoT Device Defender – Secure Your IoT Fleet AWS IoT Analytics: Delivering IoT Analytics AWS Greengrass ML Inference Amazon FreeRTOS AWS IoT 1-Click

In this presentation, we will take a deeper look at the newly announced Amazon FreeRTOS. Amazon FreeRTOS (a:FreeRTOS) is an operating system for microcontrollers that makes small, low-power edge devices easy to program, deploy, secure, connect, and manage. Amazon FreeRTOS is based on the FreeRTOS kernel, a popular open source operating system for microcontrollers, and extends it with software libraries that make it easy to securely connect your small, low-power devices to AWS cloud services like AWS IoT Core or to more powerful edge devices and gateways running AWS Greengrass.